Please use this identifier to cite or link to this item:
|Title:||Assessing screening and evaluation decision support systems: A resource-matching approach|
Decision support systems
|Source:||Tan, C.-H.,Teo, H.-H.,Benbasat, I. (2010). Assessing screening and evaluation decision support systems: A resource-matching approach. Information Systems Research 21 (2) : 305-326. ScholarBank@NUS Repository. https://doi.org/10.1287/isre.1080.0232|
|Abstract:||This research explores how consumers use online decision aids with screening and evaluation support functionalities under varying product attribute-load conditions. Drawing on resource-matching theory, we conducted a 3 × 2 factorial experiment to test the interaction between decision aid features (i.e., low versus high-screening support, and aids with weight assignment and computation decision tools) and attribute load (i.e., large versus small number of product attributes) on decision performance. The findings reveal that: (1) where the decision aids render cognitive resources that match those demanded for the task environment, consumers will process more information and decision performance will be enhanced; (2) where the decision aids render cognitive resources that exceed those demanded for the task environment, consumers will engage in less task-related elaboration of decision-making issues to the detriment of decision performance; and (3) where the decision aids render cognitive resources that fall short of those demanded for the task environment, consumers will use simplistic heuristic decision strategies to the detriment of decision performance or invest additional effort in information processing to attain a better decision performance if they perceive the additional investments in effort to be manageable. © 2010 INFORMS.|
|Source Title:||Information Systems Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
WEB OF SCIENCETM
checked on Oct 31, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.